RT Journal Article
T1 HSI-MSER: Hyperspectral Image Registration Algorithm based on MSER and SIFT
A1 Ordóñez Iglesias, Álvaro
A1 Acción Montes, Álvaro
A1 Argüello Pedreira, Francisco
A1 Blanco Heras, Dora
K1 Image registration
K1 Hyperspectral image
K1 Image Feature Extraction
AB Image alignment is an essential task in many applications of hyperspectral remote sensing images. Before any processing, the images must be registered. The Maximally Stable Extremal Regions (MSER) is a feature detection algorithm which extracts regions by thresholding the image at different grey levels. These extremal regions are invariant to image transformations making them ideal for registration. The Scale-Invariant Feature Transform (SIFT) is a well-known keypoint detector and descriptor based on the construction of a Gaussian scale-space. This article presents a hyperspectral remote sensing image registration method based on MSER for feature detection and SIFT for feature description. It efficiently exploits the information contained in the different spectral bands to improve the image alignment. The experimental results over nine hyperspectral images show that the proposed method achieves a higher number of correct registration cases using less computational resources than other hyperspectral registration methods. Results are evaluated in terms of accuracy of the registration and also in terms of execution time
PB IEEE
SN 1939-1404
YR 2021
FD 2021
LK http://hdl.handle.net/10347/29326
UL http://hdl.handle.net/10347/29326
LA eng
NO Ordóñez, A., Acción, A., Argüello, F., & Heras, D. B. (2021). HSI-MSER: Hyperspectral image registration algorithm based on MSER and SIFT. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 14, 12061-12072. doi:10.1109/JSTARS.2021.3129099
NO Ministerio de Ciencia e Innovación, Government of Spain PID2019-104834GB-I00; Consellería de Cultura, Educación e Universidade (Grant Number: ED431C 2018/19 and 2019-2022 ED431G-2019/04); Junta de Castilla y León under Project VA226P20; 10.13039/501100008530-European Regional Development Fund; Ministerio de Universidades, Government of Spain (Grant Number: FPU16/03537)
DS Minerva
RD 24 abr 2026